Dazzo et al. [1]} introduced the application of CMEIAS for microbial counting and biovolume measurement based on DIP.
The shape-adaptable methods can be applied to measure the length and width of cell for the calculation of cell size.
Then, a supervised tree is applied for individual cell classification.
After that, a k-Nearest Neighbour (kNN) classifier is used to cluster the complex particles, such as spherical coccus and branched filament.
Moreover, several parameters are calculated to location the spatial distribution of microorganisms in the biofilm.
The extracted data can be analyzed by geospatial statistics, that is used to define the biogeography of microbial cells during the development of biofilm. And the colonization behavior models are generated by using the cell-to-cell interactions intensity.
In the fourth part, the image segmentation algorithms are applied to show the color and
spatial relationships of the foreground pixels.
Finally, the applications of CMEIAS is summarized that contains the image analysis for morphological
diversity, filamentous microbial morphotypes, ecophysiological attributes linked to accurate measures of
biovolume body mass, spatial pattern analysis and its relationship to microbial biofilm ecology and color
segmentation tool for cell-cell communication. More than 35 papers are about measurement of biovolume.
